Papers
Blind source separation for over-determined delayed mixtures
Lars Omlor, Martin Giese
Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley et al.
Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, S. S. Keerthi
Causal inference in sensorimotor integration
Konrad P. Körding, Joshua B. Tenenbaum
Chained Boosting
Christian R. Shelton, Wesley Huie, Kin F. Kan
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Clustering Under Prior Knowledge with Application to Image Segmentation
Dong S. Cheng, Vittorio Murino, Mário Figueiredo
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson et al.
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck, Pavel Laskov, Sören Sonnenburg
Conditional mean field
Peter Carbonetto, Nando D. Freitas
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church, Trevor J. Hastie
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
Michael Mozer, Michael Shettel, Michael P. Holmes
Convergence of Laplacian Eigenmaps
Mikhail Belkin, Partha Niyogi
Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz, Yoram Singer
Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten Borgwardt et al.
Data Integration for Classification Problems Employing Gaussian Process Priors
Mark Girolami, Mingjun Zhong
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
Detecting Humans via Their Pose
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis, Inderjit S. Dhillon
Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel, Tobias Scheffer
Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar et al.
Doubly Stochastic Normalization for Spectral Clustering
Ron Zass, Amnon Shashua